AIMC Topic: CD8-Positive T-Lymphocytes
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DeepHLApan: A Deep Learning Approach for Neoantigen Prediction Considering Both HLA-Peptide Binding and Immunogenicity.
Frontiers in immunology
Nov 1, 2019
Neoantigens play important roles in cancer immunotherapy. Current methods used for neoantigen prediction focus on the binding between human leukocyte antigens (HLAs) and peptides, which is insufficient for high-confidence neoantigen prediction. In th...
CD4+ versus CD8+ T-lymphocyte identification in an integrated microfluidic chip using light scattering and machine learning.
Lab on a chip
Oct 23, 2019
T lymphocytes are a group of cells representing the main effectors of human adaptive immunity. Characterization of the most representative T-lymphocyte subclasses, CD4+ and CD8+, is challenging, but has a significant impact on clinical decisions. Up ...
Single T Cell Sequencing Demonstrates the Functional Role of TCR Pairing in Cell Lineage and Antigen Specificity.
Frontiers in immunology
Jul 31, 2019
Although structural studies of individual T cell receptors (TCRs) have revealed important roles for both the α and β chain in directing MHC and antigen recognition, repertoire-level immunogenomic analyses have historically examined the β chain alone....
SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.
Journal of immunology (Baltimore, Md. : 1950)
Jun 14, 2019
Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive...
Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning.
Analytical chemistry
Feb 22, 2019
CD8 T cells constitute an essential compartment of the adaptive immune system. During immune responses, naı̈ve T cells become functional, as they are primed with their cognate determinants by the antigen presenting cells. Current methods of identifyi...
Identification of Immune Signatures of Novel Adjuvant Formulations Using Machine Learning.
Scientific reports
Nov 30, 2018
Adjuvants have long been critical components of vaccines, but the exact mechanisms of their action and precisely how they alter or enhance vaccine-induced immune responses are often unclear. In this study, we used broad immunoprofiling of antibody, c...
Morphological profiling using machine learning reveals emergent subpopulations of interferon-γ-stimulated mesenchymal stromal cells that predict immunosuppression.
Cytotherapy
Nov 28, 2018
BACKGROUND: Although a preponderance of pre-clinical data demonstrates the immunosuppressive potential of mesenchymal stromal cells (MSCs), significant heterogeneity and lack of critical quality attributes (CQAs) based on immunosuppressive capacity l...
A multicentre verification study of the QuantiFERON-TB Gold Plus assay.
Tuberculosis (Edinburgh, Scotland)
Nov 28, 2017
OBJECTIVES: The aim of this verification study was to compare the QuantiFERON-TB Gold Plus (QFT-Plus) to the QuantiFERON-TB Gold In Tube (QFT-GIT). The new QFT-Plus test contains an extra antigen tube which, according to the manufacturer additionally...
Belgium
Predictive Value of Tests
Antigens, Bacterial
CD4-Positive T-Lymphocytes
Interferon-gamma Release Tests
Adult
Mycobacterium tuberculosis
Male
Netherlands
Middle Aged
Humans
Host-Pathogen Interactions
CD8-Positive T-Lymphocytes
Interferon-gamma
Female
Latent Tuberculosis
Reproducibility of Results
Histone deacetylase 2 is decreased in peripheral blood pro-inflammatory CD8+ T and NKT-like lymphocytes following lung transplant.
Respirology (Carlton, Vic.)
Nov 6, 2016
BACKGROUND AND OBJECTIVE: Immunosuppression therapy following lung transplantation fails to prevent chronic rejection in many patients, which is associated with lack of suppression of cytotoxic mediators and pro-inflammatory cytokines in peripheral b...
High-dimensional Immune Profiles and Machine Learning May Predict Acute Myeloid Leukemia Relapse Early following Transplant.
Journal of immunology (Baltimore, Md. : 1950)
Nov 15, 2024
Identification of early immune signatures associated with acute myeloid leukemia (AML) relapse following hematopoietic stem cell transplant (HSCT) is critical for patient outcomes. We analyzed PBMCs from 58 patients with AML undergoing HSCT, focusing...
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